A Study of Electrical Conductivity of Hybrid Yarns
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24410%2F12%3A%230001215" target="_blank" >RIV/46747885:24410/12:#0001215 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
A Study of Electrical Conductivity of Hybrid Yarns
Original language description
The total electric resistance R is theoretically linearly increasing function of the conductive wire length L because the electric conductivity K or electric resistivity r is independent on L. It was found out that dependence of electric resistance R onL is highly nonlinear for yarns containing the conductive metal fibers. The main aim of this paper is creation of the simple mechanistic model describing this dependence. Characteristic parameter of this model is so called specific resistivity a. This factor is used for expressing the influence of content of metal fibers on the yarns conductivity or resistivity changes.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JJ - Other materials
OECD FORD branch
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Result continuities
Project
<a href="/en/project/FR-TI1%2F122" target="_blank" >FR-TI1/122: *Electromagnetic Field Protective Textiles with Improved Comfort</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Materials Science and Engineering B
ISSN
2161-6221
e-ISSN
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Volume of the periodical
2
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
197-202
UT code for WoS article
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EID of the result in the Scopus database
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